HR & RECRUITING
Build a Hiring-Committee Decision Packet from Interview Scorecards
When all interviewers submit their scorecards for a candidate, this compiles them into a single decision packet with averaged ratings, a synthesized strengths/risks summary.
How it runs
The automated pipeline, trigger to output.
- TriggerNew scorecard submittedAirtable
- LogicAll interviewers submitted?
- ActionPull scorecards and compute scoresAirtable
- ActionSynthesize strengths, risks, recommendationOpenAI
- ActionWrite decision packet to CodaCoda
- OutputPost packet summary to committee channelMicrosoft Teams
What it does
Collects every interviewer's structured scorecard for a candidate, normalizes the ratings into a single comparable scale, and produces one polished decision packet the hiring committee can read in two minutes. It surfaces score spread, dissenting opinions, and a recommended next step so the committee debates substance instead of hunting through scattered forms.
When to use it
Run this once a candidate's interview loop is complete and you want a clean, consistent packet for committee review without manually merging four or five feedback docs.
How it works
- 1A new row in the scorecards table signals that interviewer feedback was submitted.
- 2The workflow checks whether all expected interviewers for that candidate have submitted; if not, it waits.
- 3It pulls every scorecard for the candidate and computes average and per-dimension scores plus the rating spread.
- 4An AI model synthesizes the qualitative notes into concise strengths, risks, and a hire/no-hire lean.
- 5It writes the formatted packet to a Coda doc page for the committee.
- 6It posts a summary card with the packet link to the hiring-committee Teams channel.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect CodaDocs, packs, automations.
- 4Connect Microsoft TeamsChannels, chats, files.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
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